Triple

T13392092
Position Surface form Disambiguated ID Type / Status
Subject Peter Graham E319599 entity
Predicate associatedWith P37 FINISHED
Object Paimon E919861 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paimon | Statement: [Peter Graham, associatedWith, Paimon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paimon
Context triple: [Peter Graham, associatedWith, Paimon]
  • A. Paimon chosen
    Paimon is a powerful demon king from occult lore, notably depicted as a central supernatural force in the horror film "Hereditary."
  • B. Lumine
    Lumine is a Japanese chain of fashionable urban department stores known for trendy apparel, lifestyle goods, and youth-oriented shopping complexes, especially around major train hubs.
  • C. Tennoji Mio
    Tennoji Mio is a major shopping complex in Osaka’s Tennoji district, known for its wide range of fashion, dining, and lifestyle stores connected to Tennoji Station.
  • D. Kodama Yuta
    Kodama Yuta is a Japanese individual notable for bearing the surname Kodama, though specific widely recognized public achievements or roles under this name are not well documented.
  • E. Yae Niijima
    Yae Niijima was a pioneering Japanese Christian educator and social reformer in the Meiji era, known for her work in women's education and support of her husband Joseph Hardy Neesima's founding of Doshisha University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72693a440819095a3136d8f49680a completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:34 p.m.